Exponential Synchronization of Memristive Chaotic Recurrent Neural Networks Via Alternate Output Feedback Control

2017 ◽  
Vol 20 (1) ◽  
pp. 469-482 ◽  
Author(s):  
Xiaofan Li ◽  
Jian-an Fang ◽  
Huiyuan Li
Keyword(s):  
Neural Networks ◽  
Feedback Control ◽  
Output Feedback ◽  
Recurrent Neural Networks ◽  
Output Feedback Control ◽  
Exponential Synchronization

scholarly journals Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Xiaoxiao Lv ◽  
Xiaodi Li ◽  
Jinde Cao ◽  
Peiyong Duan
Keyword(s):  
Neural Networks ◽  
Feedback Control ◽  
Output Feedback ◽  
Output Feedback Control ◽  
Exponential Synchronization ◽  
Linear Matrix ◽  
Intermittent Control ◽  
Dynamic Output Feedback ◽  
Complex Environment ◽  
Dynamic Output

The problem of exponential synchronization for neural networks is investigated via feedback control in complex environment. By constructing suitable Lyapunov-Krasovskii functionals and applying the piecewise analytic method, some sufficient criteria for exponential synchronization of the addressed neural networks are established in terms of linear matrix inequalities (LMIs). The feedback control in complex environment includes the delayed aperiodically intermittent control and dynamic output feedback control. Moreover, the delayed aperiodically intermittent dynamic output feedback controller is designed based on the established LMIs. A numerical example and its numerical simulations are finally presented to show the effectiveness of obtained theoretical results.

Adaptive output feedback control of nonlinear systems using neural networks

Automatica ◽  
2001 ◽  
Vol 37 (8) ◽  
pp. 1201-1211 ◽  
Author(s):  
Anthony J. Calise ◽  
Naira Hovakimyan ◽  
Moshe Idan
Keyword(s):  
Neural Networks ◽  
Feedback Control ◽  
Nonlinear Systems ◽  
Output Feedback ◽  
Output Feedback Control ◽  
Adaptive Output Feedback Control
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